package cn.itcast.tanhua.server;

import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.util.PageUtil;
import cn.itcast.eunms.CommentType;
import cn.itcast.model.UserInfo;
import cn.itcast.mongo.Comment;
import cn.itcast.mongo.UserFocus;
import cn.itcast.mongo.Video;
import cn.itcast.tanhua.ErrorResult.BusinessException;
import cn.itcast.tanhua.ErrorResult.ErrorResult;
import cn.itcast.tanhua.api.CommentApi;
import cn.itcast.tanhua.api.UserFApi;
import cn.itcast.tanhua.api.UserInfoApi;
import cn.itcast.tanhua.api.VideoApi;
import cn.itcast.tanhua.autoconfig.template.OssTemplate;
import cn.itcast.tanhua.interceptor.UserHolder;
import cn.itcast.utils.Constants;
import cn.itcast.vo.CommentVo;
import cn.itcast.vo.PageResult;
import cn.itcast.vo.VideoVo;
import com.alibaba.cloud.commons.lang.StringUtils;
import com.github.tobato.fastdfs.domain.conn.FdfsWebServer;
import com.github.tobato.fastdfs.domain.fdfs.StorePath;
import com.github.tobato.fastdfs.service.FastFileStorageClient;
import lombok.extern.slf4j.Slf4j;
import org.apache.dubbo.config.annotation.DubboReference;
import org.bson.types.ObjectId;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.annotation.CacheEvict;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Service;
import org.springframework.web.multipart.MultipartFile;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

@Service
@Slf4j
public class SmallVideosService {
    @DubboReference
    private UserFApi userFApi;

    @DubboReference
    private UserInfoApi userInfoApi;

    @Autowired
    private OssTemplate ossTemplate;

    @Autowired
    private FastFileStorageClient fastFileStorageClient;

    @Autowired
    private FdfsWebServer webServer;

    @DubboReference
    private VideoApi videoApi;

    @Autowired
    private StringRedisTemplate redisTemplate;




    /**
     * 发布小视频
     */
    @CacheEvict(value="videos",allEntries = true)  //清空缓存
    public void saveVideos(MultipartFile videoThumbnail, MultipartFile videoFile) throws IOException {
    if(videoFile.isEmpty() || videoThumbnail.isEmpty()) {
            throw new BusinessException(ErrorResult.error());
        }
        //1、将视频上传到FastDFS,获取访问URL
        String filename = videoFile.getOriginalFilename();  // abc.mp4
        filename = filename.substring(filename.lastIndexOf(".")+1);
        StorePath storePath = fastFileStorageClient.uploadFile(videoFile.getInputStream(), videoFile.getSize(), filename, null);
        String videoUrl = webServer.getWebServerUrl() + storePath.getFullPath();
        //2、将封面图片上传到阿里云OSS，获取访问的URL
        String imageUrl = ossTemplate.upload(videoThumbnail.getOriginalFilename(), videoThumbnail.getInputStream());
        //3、构建Videos对象
        Video video = new Video();
        video.setUserId(UserHolder.getUserId());
        video.setPicUrl(imageUrl);
        video.setVideoUrl(videoUrl);
        video.setText("我就是我，不一样的烟火");
        //4、调用API保存数据
        String videoId = videoApi.save(video);
        if(StringUtils.isEmpty(videoId)) {
            throw new BusinessException(ErrorResult.error());
        }
	}

    //查询视频列表
    @Cacheable(
            value="videos",
            key = "T(com.tanhua.server.interceptor.UserHolder).getUserId()+'_'+#page+'_'+#pagesize")  //userid _ page_pagesize
    public PageResult queryVideoList(Integer page, Integer pagesize) {
        //1、查询redis数据
        String redisKey = Constants.VIDEOS_RECOMMEND +UserHolder.getUserId();
        String redisValue = redisTemplate.opsForValue().get(redisKey);
        //2、判断redis数据是否存在，判断redis中数据是否满足本次分页条数
        List<Video> list = new ArrayList<>();
        int redisPages = 0;
        if(!StringUtils.isEmpty(redisValue)) {
            //3、如果redis数据存在，根据VID查询数据
            String[] values = redisValue.split(",");
            //判断当前页的起始条数是否小于数组总数
            if( (page -1) * pagesize < values.length) {
                List<Long> vids = Arrays.stream(values).skip((page - 1) * pagesize).limit(pagesize)
                        .map(e->Long.valueOf(e))
                        .collect(Collectors.toList());
                //5、调用API根据PID数组查询动态数据
                list = videoApi.findMovementsByVids(vids);
            }
            redisPages = PageUtil.totalPage(values.length,pagesize);
        }
        //4、如果redis数据不存在，分页查询视频数据
        if(list.isEmpty()) {
            //page的计算规则，  传入的页码  -- redis查询的总页数
            list = videoApi.queryVideoList(page - redisPages, pagesize);  //page=1 ?
        }
        //5、提取视频列表中所有的用户id
        List<Long> userIds = CollUtil.getFieldValues(list, "userId", Long.class);
        //6、查询用户信息
        Map<Long, UserInfo> map = userInfoApi.findByIds(userIds, null);
        //7、构建返回值
        List<VideoVo> vos = new ArrayList<>();
        for (Video video : list) {
            UserInfo info = map.get(video.getUserId());
            if(info != null) {
                VideoVo vo = VideoVo.init(info, video);
                vos.add(vo);
            }
        }
        String key = Constants.VISITORS_USER;
        String hashKey = String.valueOf(UserHolder.getUserId());
        redisTemplate.opsForHash().put(key,hashKey,System.currentTimeMillis()+"");
        return new PageResult(page,pagesize,0l,vos);
    }

    @DubboReference
    private CommentApi commentApi;

    public Integer likeComment(ObjectId id) {
        //1、调用API查询用户是否已点赞
        Boolean hasComment = videoApi.hasComment(id,UserHolder.getUserId(), CommentType.LIKE);
        //2、如果已经点赞，抛出异常
        if(hasComment) {
            throw new BusinessException(ErrorResult.likeError());
        }
        //3、调用API保存数据到Mongodb
        Comment comment = new Comment();
        comment.setPublishId(new ObjectId(String.valueOf(id)));
        comment.setUserId(UserHolder.getUserId());
        comment.setCommentType(1);
        comment.setCreated(System.currentTimeMillis());
        Integer count = videoApi.likeTest(comment);
        //4、拼接redis的key，将用户的点赞状态存入redis
        String key = Constants.MOVEMENTS_INTERACT_KEY + id;
        String hashKey = Constants.MOVEMENT_LIKE_HASHKEY + UserHolder.getUserId();
        redisTemplate.opsForHash().put(key,hashKey,"1");
        return count;
    }

    public Integer likedelete(String id) {
        //1、调用API查询用户是否已点赞
        Boolean hasComment = videoApi.hasCommentTest(id,UserHolder.getUserId(),CommentType.LIKE);
        //2、如果未点赞，抛出异常
        if(!hasComment) {
            throw new BusinessException(ErrorResult.disLikeError());
        }
        //3、调用API，删除数据，返回点赞数量
        Comment comment = new Comment();
        comment.setPublishId(new ObjectId(id));
        comment.setCommentType(CommentType.LIKE.getType());
        comment.setUserId(UserHolder.getUserId());
        Integer count = videoApi.delete(comment);
        //4、拼接redis的key，删除点赞状态
        String key = Constants.MOVEMENTS_INTERACT_KEY + id;
        String hashKey = Constants.MOVEMENT_LIKE_HASHKEY + UserHolder.getUserId();
        redisTemplate.opsForHash().delete(key,hashKey);
        return count;
    }


    public void commentsTest(ObjectId id, String comment) {
        //1、获取操作用户id
        Long userId = UserHolder.getUserId();
        //2、构造Comment
        Comment comments = new Comment();
        comments.setPublishId(new ObjectId(String.valueOf(id)));
        comments.setCommentType(CommentType.COMMENT.getType());
        comments.setContent(comment);
        comments.setUserId(userId);
        comments.setCreated(System.currentTimeMillis());
        //3、调用API保存评论
        Integer commentCount = videoApi.saveTest(comments);
        log.info("commentCount = " + commentCount);
    }

    public PageResult Comments(ObjectId id, Integer page, Integer pagesize) {
        //1、调用API查询评论列表
        List<Comment> list = videoApi.findComments(new ObjectId(String.valueOf(id)), CommentType.COMMENT,page,pagesize);
        //2、判断list集合是否存在
        if(CollUtil.isEmpty(list)) {
            return new PageResult();
        }
        //3、提取所有的用户id,调用UserInfoAPI查询用户详情
        List<Long> userIds = CollUtil.getFieldValues(list, "userId", Long.class);
        Map<Long, UserInfo> map = userInfoApi.findByIds(userIds, null);
        //4、构造vo对象
        List<CommentVo> vos = new ArrayList<>();
        for (Comment comment : list) {
            UserInfo userInfo = map.get(comment.getUserId());
            if(userInfo != null) {
                CommentVo vo = CommentVo.init(userInfo, comment);
                vos.add(vo);
            }
        }
        //5、构造返回值
        return new PageResult(page,pagesize,0l,vos);
    }




    public void userFocus(ObjectId id) {
        Long userId = UserHolder.getUserId();
        boolean aaa=userFApi.comm(userId,id);
        if(aaa) {
            throw new BusinessException(ErrorResult.foError());
        }

        Comment comments = new Comment();
        comments.setUserId(userId);
        comments.setPublishId(new ObjectId(String.valueOf(id)));
        comments.setContent("1");
        comments.setCreated(System.currentTimeMillis());

        userFApi.fTest(comments);
        //4、拼接redis的key，将用户的点赞状态存入redis
        String key = Constants.MOVEMENTS_INTERACT_KEY + id;
        String hashKey = Constants.MOVEMENT_LIKE_HASHKEY + UserHolder.getUserId();
        redisTemplate.opsForHash().put(key,hashKey,"1");


    }
}